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r-lidar
`readLAS()` leads to RStudio crash when applied on a corrupt file
When applying readLAS() on a corrupted file, {lidR} causes the IDE to crash at the moment:
library(lidR)
#> 4.1.1
f <- "3dm_32_299_5634_1_nw.laz"
utils::download.file(paste0("https://www.opengeodata.nrw.de/produkte/geobasis/hm/3dm_l_las/3dm_l_las/", f),
f)
lidR::readLAS(f)
#> --- CRASH ---
Meanwhile, I'm fully aware that this is due to the wrong mode in utils::download.file(), but I feel like a package should not cause a crash of the superordinate piece of software and also that it would have been nice to get a meaningful error message, in order to be able to investigate further instead of the upper notification prompted by RStudio itself.
f <- "3dm_32_299_5634_1_nw.laz"
utils::download.file(paste0("https://www.opengeodata.nrw.de/produkte/geobasis/hm/3dm_l_las/3dm_l_las/", f),
f,
mode = "wb")
lidR::readLAS(f)
#> class : LAS (v1.2 format 1)
#> memory : 517.8 Mb
#> extent : 299000, 3e+05, 5634000, 5635000 (xmin, xmax, ymin, ymax)
#> coord. ref. : ETRS89 / UTM zone 32N
#> area : 1 km²
#> points : 8.48 million points
#> density : 8.48 points/m²
#> density : 8 pulses/m²
Just to show how other packages handle this: When messing things up using e.g. {terra}, i.e. GDAL, you get the following error message. Something similiar would be nice, I guess.
f <- "snw_NAM-44_CCCma-CanESM2_historical-r1_r1i1p1_CCCma-CanRCM4_r2_mon_195001-195012.nc"
download.file(url = paste0("https://crd-data-donnees-rdc.ec.gc.ca/CCCMA/products/CanSISE/output/CCCma/CanRCM4/NAM-44_CCCma-CanESM2_historical-r1/mon/atmos/snw/r1i1p1/", f),
destfile = f)
terra::rast(f)
#> Warning:
#> `snw_NAM-44_CCCma-CanESM2_historical-r1_r1i1p1_CCCma-CanRCM4_r2_mon_195001-195012.nc'
#> not recognized as a supported file format. (GDAL error 4)
#> Error: [rast] cannot open this file as a SpatRaster: snw_NAM-44_CCCma-CanESM2_historical-r1_r1i1p1_CCCma-CanRCM4_r2_mon_195001-195012.nc
Please report your operating system, rlas version, R version and everything that might be useful. I cannot reproduce on my side (linux, rlas 1.7.0, lidR 4.1.1, R 4.3.3). Your file is read properly.
Sorry, I missed that. Here you go:
sessionInfo()
#> R version 4.3.2 (2023-10-31 ucrt)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 10 x64 (build 19045)
#>
#> Matrix products: default
#>
#>
#> locale:
#> [1] LC_COLLATE=German_Germany.utf8 LC_CTYPE=German_Germany.utf8
#> [3] LC_MONETARY=German_Germany.utf8 LC_NUMERIC=C
#> [5] LC_TIME=German_Germany.utf8
#>
#> time zone: Europe/Berlin
#> tzcode source: internal
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] rlas_1.7.0 lidR_4.1.1
#>
#> loaded via a namespace (and not attached):
#> [1] dplyr_1.1.4 compiler_4.3.2 tidyselect_1.2.0 reprex_2.1.0
#> [5] Rcpp_1.0.12 yaml_2.3.8 fastmap_1.1.1 R6_2.5.1
#> [9] generics_0.1.3 classInt_0.4-10 sf_1.0-15 knitr_1.45
#> [13] tibble_3.2.1 units_0.8-5 R.cache_0.16.0 DBI_1.2.2
#> [17] pillar_1.9.0 R.utils_2.12.3 rlang_1.1.3 utf8_1.2.4
#> [21] terra_1.7-71 xfun_0.42 fs_1.6.3 cli_3.6.2
#> [25] withr_3.0.0 magrittr_2.0.3 class_7.3-22 digest_0.6.34
#> [29] grid_4.3.2 rstudioapi_0.15.0 lifecycle_1.0.4 R.methodsS3_1.8.2
#> [33] R.oo_1.26.0 vctrs_0.6.5 KernSmooth_2.23-22 proxy_0.4-27
#> [37] evaluate_0.23 glue_1.7.0 data.table_1.15.2 styler_1.10.2
#> [41] codetools_0.2-19 fansi_1.0.6 e1071_1.7-14 rmarkdown_2.26
#> [45] purrr_1.0.2 pkgconfig_2.0.3 tools_4.3.2 htmltools_0.5.7
Ok, maybe I should try updating R to 4.3.3 in the meantime.
Give it a try. I currently have no clue at all, but it is more likely a Windows specific bug in rlas
Transferred to rlas, reproduced under windows
f <- "3dm_32_299_5634_1_nw.laz"
utils::download.file(paste0("https://www.opengeodata.nrw.de/produkte/geobasis/hm/3dm_l_las/3dm_l_las/", f), f)
rlas::read.las(f)
Just wanted to confirm that RStudio still crashes using R 4.3.3 and rlas::read.las().
Just encountered a similar issue using Mac (14.3.1), R (4.4.0), rlas (1.7.0), lidR (4.1.1). Seems to be not just a Windows issue. As with the case for @dimfalk , it is just specific corrupt files. The rest of the ones I am using work normally for me and don't crash R.
